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Extra info for Algorithm Design For Networked Information Technology Systems
243 (a) Cumulative Cost Function as a Function of Simulation Time, for Diﬀerent Values of r c; (b) Plot of Four Measures—Back orders, Demands, Refusals, and Number of Pieces Transferred— as a Function of Simulation Time, for r c = 3 and w c = 4; (c) Plot of Four Measures—Back orders, Demands, Refusals, and Number of Pieces Transferred—as a Function of Simulation Time, for r c = w c = ∞; (d) Variation of Cumulative Cost Function and Number of Pieces Transferred as a Function of r c and w c Parameter Values .
The control of a synchronous system is simple to design and relatively easy to implement, debug, and test. Unlike the uncertainty, chaos, and unpredictability in asynchronous systems, synchronous systems are regular, easy to comprehend, and predictable; they are therefore preferred by human beings. Our ability to understand order, coupled with our helplessness in the face of uncertain asynchronous events, has caused us to impose discipline and order in most of our activities. We have even projected the idea, in our own image, that regularity and periodicity are signs of intelligence, forgetting that the paradigm may not be universal.
84 NODIFS Algorithm for Combinational Subcircuits . . . . . . . 85 Reducing a Cyclic Directed to an Acyclic Directed Graph . . . . 85(a) . . . . . . . . . . . . . . . . . . . . . . . . . . 87 The NODIFS Approach . . . . . . . . . . . . . . . . . . . 88 Operations of a Model X . . . . . . . . . . . . . . . . . . 89 An Example Digital Design for NODIFS . . . . . . . . . . . 89 . . . . . . . . . . . . . .
Algorithm Design For Networked Information Technology Systems